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Updated: Feb 13, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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クリニック・トライアル終了予測モデルは,無音化オートエンコーダーと深層生存回帰に基づいています

Huamei Qi1, Wenhui Yang1, Wenqin Zou2

  • 1School of Electronic Information Central South University Changsha Hunan China.

Quantitative biology (Beijing, China)
|February 12, 2026
PubMed
まとめ

臨床試験の完了を予測することは極めて重要です. 新しい自動エンコーダーとDeepSurv (DAE-DSR) モデルにより,生存予測の精度が向上し,特に妊婦を含む試験における稀少なデータが改善されています.

キーワード:
ディープサーフ (DeepSurv) についてクリニック・トライアル 臨床試験自動エンコーダーを否定する.実験終了 実験終了生存分析とは,生存分析である.

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